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Data Policy, Version 1.2:
<https://matos.asascience.com/static/MATOS.User.Agreement.V1.1.pdf>! Please log in.✔ Login successful!Accessing and understanding your data extracts with matos, rvdat, and otndo
Mike O’Brien
University of Maryland Center for Environmental Science
2024-01-23
Interact with the ACT_MATOS database
Pull data from receivers or ACT_MATOS database
Wrap your head around ACT/OTN data pushes
Programmatic and reproducible
matos
- An API to the MATOS website/database tool
- List projects and files, download files, upload files to MATOS
- No data analysis/manipulation
- May provide sanity checks in the future (Kim’s sanity)
Connect to the MATOS database
Treat this just like you’re visiting https://matos.asascience.com/account/login
List all projects
- Like visiting https://matos.asascience.com/project, but more.
- Connects to the OTN database to quickly download project metadata
ℹ These projects are missing metadata as they have not yet synced with OTN:
"BTWaves Caribbean Acoustic Tagging", "CT DEEP Array (2022-2026)", "ERDC-VCU
James River Array", "ERDC_Brunswick", "SBU Eco-Pod", "SBU Landscape Lab Array",
"SBU NY Ocean Indicators", "UNH - Rainbow smelt", "VCU/ERDCTelemetry Tags", and
"WCS New York Sand Tiger Shark Study"# A tibble: 146 × 19
name number url FID collectioncode longname shortname ocean seriescode
<chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 ACK Ar… 168 http… otn_… ACT.NEAQACK "Invest… ACK Array NE A… ACT
2 APG At… 176 http… otn_… ACT.ATSHS "Aberde… APG Atla… NE A… ACT
3 ASI - … 211 http… otn_… ACT.ASIWHITE21 "Atlant… ASI - Wh… NE A… ACT
4 ASI Ac… 100 http… otn_… ACT.ASIARRAY "Using … ASI Acou… NE A… ACT
5 ASI Sp… 227 http… otn_… ACT.ASISPINNER "ASI sp… ASI Spin… NE A… ACT
6 ASI Wh… 232 http… otn_… ACT.ASIWHITE "ASI Wh… ASI Whit… NE A… ACT
7 BOEM-D… 85 http… otn_… ACT.DEWEA "Occurr… BOEM-DE … MID … ACT
8 BOEM-V… 217 http… otn_… ACT.VAHMSSHARK "Sandbr… BOEM-VA:… NE A… ACT
9 BOEM L… 239 http… otn_… ACT.MABASKMOLA "Invest… BOEM Liv… NE A… ACT
10 Brandy… 162 http… otn_… ACT.BRAWSHAD "Examin… Brandywi… NE A… ACT
# ℹ 136 more rows
# ℹ 10 more variables: status <chr>, citation <chr>, abstract <chr>,
# locality <chr>, local_area <chr>, website <chr>, node <chr>,
# collaborationtype <chr>, id <int>, the_geom <chr>List only your projects
name number
35 Maryland Department of Natural Resources 90
47 Navy Kennebec ME Telemetry Array 192
48 NCBO-MD DNR Chesapeake Backbone North 181
49 NCBO-VMRC Chesapeake Backbone South 164
123 UMCES-NYSDEC Hudson Striped Bass Spawning 127
124 UMCES Black Sea Bass & Offshore Construction 97
125 UMCES BOEM Marine Mammal Monitoring 242
126 UMCES BOEM Offshore Wind Energy 87
127 UMCES Chesapeake Backbone, Mid-Bay 161
128 UMCES Lower Hudson Striped Bass Contingents 155
129 UMCES Potomac River Striped Bass Migration 60
130 UMCES Resident Hudson Striped Bass Migration 160
131 UMCES Striped Bass Thermal Squeeze 152
132 UMCES TailWinds 240
url
35 https://matos.asascience.com/project/detail/90
47 https://matos.asascience.com/project/detail/192
48 https://matos.asascience.com/project/detail/181
49 https://matos.asascience.com/project/detail/164
123 https://matos.asascience.com/project/detail/127
124 https://matos.asascience.com/project/detail/97
125 https://matos.asascience.com/project/detail/242
126 https://matos.asascience.com/project/detail/87
127 https://matos.asascience.com/project/detail/161
128 https://matos.asascience.com/project/detail/155
129 https://matos.asascience.com/project/detail/60
130 https://matos.asascience.com/project/detail/160
131 https://matos.asascience.com/project/detail/152
132 https://matos.asascience.com/project/detail/240
FID collectioncode
35 otn_resources_metadata.fid-37ac1afd_18d3389bf79_486e ACT.MDDNR1NR
47 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4879 ACT.NAVYKENN
48 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4840 ACT.CBBBN
49 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4841 ACT.CBBBS
123 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4864 ACT.HUDRSB
124 otn_resources_metadata.fid-37ac1afd_18d3389bf79_486d ACT.MDBSB
125 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4871 ACT.MDWEAMAM
126 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4870 ACT.MDWEA
127 otn_resources_metadata.fid-37ac1afd_18d3389bf79_483f ACT.CBBBMB
128 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4861 ACT.HRSB09
129 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4892 ACT.PASBT
130 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4860 ACT.HRSB04
131 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4893 ACT.PAXSB08
132 otn_resources_metadata.fid-37ac1afd_18d3389bf79_48ac ACT.TAILWINDS
longname
35 Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47 Naval Undersea Warfare Center (NUWC) Kennebec River and Offshore Acoustic Telemetry Monitoring
48 NOAA Chesapeake Bay Office-Maryland Department of Natural Resources Chesapeake Bay Backbone Northern Array
49 NOAA Chesapeake Bay Office-Virginia Marine Resource Commission Chesapeake Bay Backbone Southern Acoustic Array
123 Spawning Behavior and Ocean Migrations by Hudson River Striped Bass
124 Influence of Turbine Construction Noise on Black Sea Bass Displacement and Physiological Condition in the MD Wind Energy Area
125 Add-on to: Determining Habitat Use by Marine Mammals and Ambient Noise Levels Using Passive Acoustic Monitoring Offshore of Maryland
126 Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127 Building a Mainstem Chesapeake Bay Telemetry Array: Mid-Bay Segment
128 Striped Bass Habitat Use and Migrations in the Lower Hudson River Estuary
129 PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130 Migration Patterns of Resident Hudson River Striped Bass
131 Test of The Thermal Niche-Oxygen Squeeze Hypothesis for Chesapeake Bay Striped Bass
132 TailWinds: Team for Assessing Impacts to Living resources from offshore WIND turbineS
shortname ocean seriescode
35 Maryland Department of Natural Resources MID ATLANTIC ACT
47 Navy Kennebec ME Telemetry Array NE ATLANTIC ACT
48 NCBO-MD DNR Chesapeake Backbone North NE ATLANTIC ACT
49 NCBO-VMRC Chesapeake Backbone South NE ATLANTIC ACT
123 UMCES-NYSDEC Hudson Striped Bass Spawning NE ATLANTIC ACT
124 UMCES Black Sea Bass & Offshore Construction NE ATLANTIC ACT
125 UMCES BOEM Marine Mammal Monitoring NE ATLANTIC ACT
126 UMCES BOEM Offshore Wind Energy MID ATLANTIC ACT
127 UMCES Chesapeake Backbone, Mid-Bay NE ATLANTIC ACT
128 UMCES Lower Hudson Striped Bass Contingents MID ATLANTIC ACT
129 UMCES Potomac River Striped Bass Migration MID ATLANTIC ACT
130 UMCES Resident Hudson Striped Bass Migration NE ATLANTIC ACT
131 UMCES Striped Bass Thermal Squeeze MID ATLANTIC ACT
132 UMCES TailWinds NE ATLANTIC ACT
status
35 ongoing
47 ongoing
48 ongoing
49 ongoing
123 completed
124 completed
125 ongoing
126 completed
127 ongoing
128 completed
129 completed
130 completed
131 completed
132 ongoing
citation
35 Stence, C. 2019. Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47
48
49
123
124
125
126 O'Brien, M. 2016. Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127
128
129 O'Brien, M. 2014. PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130
131
132
abstract
35 Recovery planning for Atlantic sturgeon requires estimates of population abundances against which to evaluate takes and develop feasible restoration targets. We will develop an approach combining telemetry and multi-beam sonar (ARIS: Adaptive Resolution Imaging Sonar) to estimate spawning run size in the Nanticoke River Estuary, which supports a newly discovered yet potentially critically endangered population within Chesapeake Bay DPS.
47 This telemetry monitoring study is to collect year round occurrence data for Atlantic and shortnose sturgeon in the lower Kennebec River (at Bath Iron Works [BIW]) and also to collect data during recurrent Naval activities. This study will also implement monitoring stations offshore of Popham Beach to capture coastal movements of sturgeon and other species including White Sharks. This area encompasses a curtain between Fox-Seguin Islands and the JackKnife Ledge Dredge Disposal area.
48 NCBO and MD DNR partner to deploy four acoustic release receivers across the span of the Chesapeake adjacent to the Chesapeake Bay Bridge between Annapolis and Kent Island. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay. The goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally
49 This project maintains a line of receivers immediately adjacent to the Chesapeake Bay Bridget Tunnel near the mouth of the Chesapeake. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay.\\r\\rThe goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally.
123 Together with other principal striped bass stocks, the Hudson River population has experienced diminished recruitment and survival, which has prompted management action to reduce fishing mortality in New York and other states. A central issue in the management of Hudson River striped bass is how this population contributes to coastal fisheries. What factors influence coastal migrations? This study used existing telemetry receiver assets in the Hudson River, shelf waters, and other major Atlantic estuaries to examine the influence of sex, size, and spawning reach on these coastal migrations.
124 The project evaluates differences in black sea bass occurrence, movement, and physiological condition between a control region (>20 km) and regions of avoidance (500-1000 m) and noise detection (2000-4000 m) associated with construction of a meteorological tower in advance of wind farm development. The influence of noise levels (recorded on broadband acoustic receivers) from separate phases of Meteorological Tower construction on black sea bass occurrence and movement data is monitored.\\r\\rInfluence of large-scale storms on the acoustic environment and physical oceanography on black sea bass movement and migration will also be investigated utilizing the resultant data.
125 BOEM Study 2019-018 was used as a "ship of opportunity" to deploy Innovasea VR2Ws alongside of passive acoustic monitoring instruments used to describe marine mammal movements through the Maryland Wind Energy Area.
126 Baseline information is needed on the extent of fish migration corridors within BOEM-leased Wind Energy Areas. This two-year biotelemetry study deployed a beforeafter-gradient approach to evaluate migration behavior and habitat selection of two model migratory fishes, Atlantic sturgeon Acipenser oxyrhynchus and striped bass Morone saxatilis, in the Maryland Wind Energy Area (MD WEA). The MD WEA is located in the migration corridors for both species during periods of spring, fall and winter. Detected individuals within the MD WEA originated broadly, from Maine to South Carolina. During summer, Atlantic sturgeon were rarely detected and striped bass were absent in the MD WEA, suggesting a potential window for wind turbine construction. Dynamic habitat models identified cross-shelf gradients in depth and temperature that were predictive of seasonal incidence and whether test species distributions were within MD WEA or in adjacent shelf regions. https://doi.org/10.5061/dryad.6hdr7sqx3
127 This project maintains a string of receivers across the mid-Bay segment of the mainstem Chesapeake Bay between Cedar Point and Barren Island, MD. The goal of this project is to create a consistently-deployed telemetry array upon which other projects can build.
128 Through biotelemetry, we investigated how striped bass transit and utilize the lower Hudson River Estuary. This study builds upon past Hudson River Foundation-supported research, which suggested that striped bass migration patterns, categorized as “contingent structure,” might be a useful organizing concept in understanding how striped bass seasonally utilize the Hudson River Estuary. Seasonal migrations of three contingents (river, harbor, and ocean contingents) were investigated using both manual tracking (three seasonal campaigns) and remote data-logging receiver arrays over a 18-month period (May 2010-December 2011).
129 Track a representative group of 100 Potomac River striped bass over a multi-year period within the Potomac River and across major regions and tributaries of the Chesapeake and the Atlantic Coast.
130 Hudson River striped bass show highly variable migration patterns, as seen through tagging studies and otolith microchemical analyses (Clark 1968; Secor 1999). Recent studies have shown resident, estuarine, and ocean migratory contingents in the Hudson River (Secor et al. 2001). These contingent behaviors play a dominant role in the exposure of these fish to polychlorinated biphenyls (PCBs) (Secor and Zlokovitz 1999). We describe a study of seasonal migrations of contaminated resident striped bass to better understand the likelihood of angler consumption of these fish. We investigated the resident contingent of Hudson River striped bass, focusing on the seasonal patterns of migration by these fish. Seasonal migrations of resident fish were measured using both manual tracking (four seasonal campaigns) and remote data-logging receiver arrays (three intercept sites) over a 12-month period (October 2004-November 2005).\\r\\rResults published in Wingate and Secor, 2007.
131 To bring ecosystem considerations into the current Chesapeake Bay Program striped bass FMP will require improved understanding and benchmarks for the role of water quality and habitat in influencing striped bass production. Here, we propose to better understand the constraints on resident Chesapeake Bay striped bass production under continued and perhaps worsening conditions of thermal and hypoxic stress. A widely held, but unsubstantiated view of Chesapeake Bay striped bass is that eutrophication and related increased incidence of hypoxia during summer has reduced growth and condition, and occasionally resulted in fish kills. In this study, we will directly evaluate Coutant’s thermal niche-oxygen squeeze hypothesis in the Patuxent River estuary. We develop bioenergetic benchmarks of resident striped bass growth as habitat indicators relevant to management of striped bass and other living resources.
132 US Wind, Inc. is developing Lease area OCS-A 0490 in waters offshore of Ocean City, MD (the MarWin Project Area). In tandem with this development, UMCES TAILWINDS is undertaking a coordinated program of fishery resource and marine mammal monitoring. The program includes monitoring of (1) commercial and recreational fishery resources, with a focus on black sea bass; (2) marine mammals (cetaceans: whales, dolphins and porpoises), using a passive acoustic monitoring (PAM) array and emphasizing large whales and dolphins; and (3) near real-time detections of baleen whales. Innovasea receivers are deployed alongside of the PAM array to intercept electronically-tagged fishes through the MarWin Project and adjacent areas.
locality local_area
35 Chesapeake Bay Nanticoke River
47 Kennebec River Gulf of Maine
48 Annapolis Chesapeake Bay
49 Chesapeake Bay Chesapeake Bay
123 Hudson River Hudson River
124 Atlantic Ocean Ocean City
125
126 BOEM Wind Farm Ocean City
127 Cedar Point, MD Chesapeake Bay
128 Hudson River Hudson River
129 Chesapeake Bay Chesapeake Bay
130 Hudson River Hudson River
131 Patuxent River Patuxent River
132 Southern Mid-Atlantic Bight
website
35
47
48
49
123
124
125 https://espis.boem.gov/final%20reports/BOEM_2019-018.pdf
126 https://www.govinfo.gov/app/details/GOVPUB-I-e41f0ebd0487ba48b521a21a7ae45ec5
127
128
129 http://fishconnectivity.cbl.umces.edu/PAST
130
131
132 https://tailwinds.umces.edu/
node collaborationtype id
35 ACT Data 66
47 ACT Deployment 77
48 ACT Deployment 20
49 ACT Deployment 21
123 ACT Data 56
124 ACT Data 65
125 ACT Deployment 69
126 ACT Data 68
127 ACT Deployment 19
128 ACT Data 53
129 ACT Data 102
130 ACT Data 52
131 ACT Data 103
132 ACT Deployment 128
the_geom
35 POLYGON ((-76.07 37.98, -76.07 38.83, -75.4 38.83, -75.4 37.98, -76.07 37.98))
47 POLYGON ((-70.089689 43.461849, -70.089689 44.345744, -69.399658 44.345744, -69.399658 43.461849, -70.089689 43.461849))
48 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
49 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
123 POLYGON ((-75.28 40.34, -75.28 42.98, -72.55 42.98, -72.55 40.34, -75.28 40.34))
124 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
125 POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))
126 POLYGON ((-77.44 37.61, -77.44 43.3, -70.04 43.3, -70.04 37.61, -77.44 37.61))
127 POLYGON ((-76.424487 38.266579, -76.424487 38.3614, -76.221066 38.3614, -76.221066 38.266579, -76.424487 38.266579))
128 POLYGON ((-74.62 39.82, -74.62 42.57, -73.36 42.57, -73.36 39.82, -74.62 39.82))
129 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
130 POLYGON ((-74.05 42.04, -74.05 42.86, -73.46 42.86, -73.46 42.04, -74.05 42.04))
131 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
132 POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))List your project’s files
project file_type upload_date
1 161 Deployed Receivers – Deployment Metadata 2023-10-12
2 161 Tag Detections - .vfl file 2023-10-12
3 161 Deployed Receivers – Deployment Metadata 2023-09-28
4 161 Tag Detections - .vfl file 2023-09-13
5 161 Tag Detections - .vfl file 2023-09-13
6 161 Tag Detections - .vfl file 2023-09-13
7 161 Tag Detections - .vfl file 2023-09-13
8 161 Tag Detections - .vfl file 2023-09-13
9 161 Tag Detections - .vfl file 2023-09-13
10 161 Tag Detections - .vfl file 2023-09-13
11 161 Tag Detections - .vfl file 2023-09-13
12 161 Deployed Receivers – Deployment Metadata 2022-05-05
13 161 Tag Detections - .vfl file 2022-05-05
14 161 Tag Detections - .vfl file 2022-05-05
15 161 Tag Detections - .vfl file 2022-05-05
16 161 Tag Detections - .vfl file 2022-05-05
17 161 Tag Detections - .vfl file 2022-05-05
18 161 Deployed Receivers – Deployment Metadata 2022-01-11
19 161 Tag Detections - .vfl file 2021-12-15
20 161 Tag Detections - .vfl file 2021-12-15
21 161 Tag Detections - .vfl file 2021-12-15
22 161 Tag Detections - .vfl file 2021-12-15
23 161 Tag Detections - .vfl file 2021-12-15
24 161 Tag Detections - .vfl file 2021-12-15
25 161 Deployed Receivers – Deployment Metadata 2021-09-09
26 161 Tag Detections - .vfl file 2021-08-26
27 161 Tag Detections - .vfl file 2021-08-26
28 161 Tag Detections - .vfl file 2021-08-26
29 161 Tag Detections - .vfl file 2021-08-26
30 161 Tag Detections - .vfl file 2021-08-26
31 161 Tag Detections - .vfl file 2021-08-26
32 161 Deployed Receivers – Deployment Metadata 2021-07-08
file_name
1 MidBay Backbone_instrument_metadata_20231012.xlsx
2 VR2AR_546323_20231012_1.vrl
3 MidBay_Backbone_instrument_metadata_20230913.xlsx
4 VR2AR_547715_20230912_1.vrl
5 VR2AR_547714_20230912_1.vrl
6 VR2AR_546476_20230912_1.vrl
7 VR2AR_546470_20230912_1.vrl
8 VR2AR_546462_20230912_1.vrl
9 VR2AR_546457_20230912_1.vrl
10 VR2AR_546304_20230912_1.vrl
11 VR2AR_546211_20230912_1.vrl
12 MidBay Backbone_instrument_metadata_20220504.xlsx
13 VR2AR_546323_20220504_1.vrl
14 VR2AR_546470_20220504_1.vrl
15 VR2AR_546211_20220504_1.vrl
16 VR2AR_546457_20220504_1.vrl
17 VR2AR_546305_20220504_1.vrl
18 MidBay Backbone_ACT_instrument_metadata_20211214.xls
19 VR2AR_546305_20211214_1.vrl
20 VR2AR_546457_20211214_1.vrl
21 VR2AR_546211_20211214_1.vrl
22 VR2AR_546470_20211214_1.vrl
23 VR2AR_546323_20211214_1.vrl
24 VR2AR_546460_20211214_1.vrl
25 MidBay Backbone_ACT_instrument_metadata_202109.xls
26 VR2AR_546470_20210820_1.vrl
27 VR2AR_546460_20210820_1.vrl
28 VR2AR_546457_20210820_1.vrl
29 VR2AR_546323_20210820_1.vrl
30 VR2AR_546305_20210820_1.vrl
31 VR2AR_546211_20210820_2.vrl
32 MidBay Backbone_ACT_instrument_metadata_shortform.xls
url
1 https://matos.asascience.com/projectfile/download/11088
2 https://matos.asascience.com/projectfile/download/11087
3 https://matos.asascience.com/projectfile/download/8181
4 https://matos.asascience.com/projectfile/download/8003
5 https://matos.asascience.com/projectfile/download/8002
6 https://matos.asascience.com/projectfile/download/8001
7 https://matos.asascience.com/projectfile/download/8000
8 https://matos.asascience.com/projectfile/download/7999
9 https://matos.asascience.com/projectfile/download/7998
10 https://matos.asascience.com/projectfile/download/7997
11 https://matos.asascience.com/projectfile/download/7996
12 https://matos.asascience.com/projectfile/download/5121
13 https://matos.asascience.com/projectfile/download/5120
14 https://matos.asascience.com/projectfile/download/5119
15 https://matos.asascience.com/projectfile/download/5118
16 https://matos.asascience.com/projectfile/download/5117
17 https://matos.asascience.com/projectfile/download/5116
18 https://matos.asascience.com/projectfile/download/4200
19 https://matos.asascience.com/projectfile/download/4190
20 https://matos.asascience.com/projectfile/download/4189
21 https://matos.asascience.com/projectfile/download/4188
22 https://matos.asascience.com/projectfile/download/4187
23 https://matos.asascience.com/projectfile/download/4186
24 https://matos.asascience.com/projectfile/download/4185
25 https://matos.asascience.com/projectfile/download/4015
26 https://matos.asascience.com/projectfile/download/4012
27 https://matos.asascience.com/projectfile/download/4011
28 https://matos.asascience.com/projectfile/download/4010
29 https://matos.asascience.com/projectfile/download/4009
30 https://matos.asascience.com/projectfile/download/4008
31 https://matos.asascience.com/projectfile/download/4007
32 https://matos.asascience.com/projectfile/download/3930Download (get) a project file
── Downloading files ───────────────────────────────────────────────────────────✔ File(s) saved to: C:\Users\darpa2\Analysis\ACT-2024\ACT_20240123\VR2AR_546323_20231012_1.vrl ── Unzipping files ─────────────────────────────────────────────────────────────[1] "C:\\Users\\darpa2\\Analysis\\ACT-2024\\ACT_20240123\\VR2AR_546323_20231012_1.vrl"List your data extract files
project file_type detection_type detection_year upload_date
1 161 Data Extraction File qualified 2021 2023-11-21
2 161 Data Extraction File qualified 2022 2023-11-21
3 161 Data Extraction File qualified 2023 2023-11-21
4 161 Data Extraction File sentinel_tag 2021 2023-03-16
5 161 Data Extraction File sentinel_tag 2022 2023-03-16
6 161 Data Extraction File unqualified 2021 2023-11-21
7 161 Data Extraction File unqualified 2022 2023-11-21
8 161 Data Extraction File unqualified 2023 2023-11-21
file_name
1 cbbbmb_qualified_detections_2021.zip
2 cbbbmb_qualified_detections_2022.zip
3 cbbbmb_qualified_detections_2023.zip
4 cbbbmb_sentinel_tag_detections_2021.zip
5 cbbbmb_sentinel_tag_detections_2022.zip
6 cbbbmb_unqualified_detections_2021.zip
7 cbbbmb_unqualified_detections_2022.zip
8 cbbbmb_unqualified_detections_2023.zip
url
1 https://matos.asascience.com/projectfile/downloadExtraction/161_1
2 https://matos.asascience.com/projectfile/downloadExtraction/161_2
3 https://matos.asascience.com/projectfile/downloadExtraction/161_3
4 https://matos.asascience.com/projectfile/downloadExtraction/161_4
5 https://matos.asascience.com/projectfile/downloadExtraction/161_5
6 https://matos.asascience.com/projectfile/downloadExtraction/161_6
7 https://matos.asascience.com/projectfile/downloadExtraction/161_7
8 https://matos.asascience.com/projectfile/downloadExtraction/161_8Download (get) your data extract files
── Downloading files ───────────────────────────────────────────────────────────✔ File(s) saved to: C:\Users\darpa2\Analysis\ACT-2024\ACT_20240123\cbbbmb_qualified_detections_2021.zip ── Unzipping files ─────────────────────────────────────────────────────────────✔ File(s) unzipped to: C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/cbbbmb_qualified_detections_2021.csv
C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/data_description.txt [1] "C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/cbbbmb_qualified_detections_2021.csv"
[2] "C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/data_description.txt" How is this helpful?
Project management! Bulk downloads:
How is this helpful?
Bulk uploads:
How is this helpful?
Networking:
“I wonder who else is working on striped bass?”
[1] "MADMF Striped Bass Migration Ecology Study"
[2] "Mallows Bay National Marine Sanctuary"
[3] "MBL STRIPED BASS"
[4] "MBL/WTGHA Striped Bass Study"
[5] "Monmouth University Coastal Fisheries Study"
[6] "NCBO Back Creek"
[7] "NCCOS Poplar Island"
[8] "NCDMF Anadromous Fisheries Tagging Study"
[9] "NCDMF Multi-Species Tagging Program"
[10] "NCDMF Tar-Pam Neuse Arrays"
[11] "SERC Juvenile Striped Bass Study"
[12] "UMCES-NYSDEC Hudson Striped Bass Spawning"
[13] "UMCES BOEM Offshore Wind Energy"
[14] "UMCES Lower Hudson Striped Bass Contingents"
[15] "UMCES Potomac River Striped Bass Migration"
[16] "UMCES Resident Hudson Striped Bass Migration"
[17] "UMCES Striped Bass Thermal Squeeze"
[18] "VMRC Acoustic Study" More information
obrien@umces.edu
rvdat
Change your VUEpoint of receiver data
- An interface to
vdat.exe, distributed with Fathom Connect
Big note
rvdatjust talks tovdat.exe, nothing more (like data manipulation)- If you’re a
glatosuser, this functionality will be baked into the newest version (0.8.0).
Connect to your instance of VDAT
Inspect your file
==============================================================================
VRL
==============================================================================
File: VR2AR_546323_20231012_1.vrl
Original: VR2AR_546323_20231012_1.vrl
Container: VR2AR VRL file (com.vemco.file.vrl.0207.ff02.ff02/5.2.2)
Created: 2023-10-12T14:28:01
Data UUID: 1713ed82-3f34-1a47-9f30-8afebee9b1c4
Rx Model: VR2AR-69
Rx Serial: 546323
==============================================================================
Device
==============================================================================
Decoding Map: MAP-114
Blanking Interval: 260 ms
Inspect your file… to a data.frame
variable value
1 File VR2AR_546323_20231012_1.vrl
2 Original VR2AR_546323_20231012_1.vrl
3 Container VR2AR VRL file (com.vemco.file.vrl.0207.ff02.ff02/5.2.2)
4 Created 2023-10-12T14:28:01
5 Data UUID 1713ed82-3f34-1a47-9f30-8afebee9b1c4
6 Rx Model VR2AR-69
7 Rx Serial 546323
8 Decoding Map MAP-114
9 Blanking Interval 260 ms
section
1 VRL
2 VRL
3 VRL
4 VRL
5 VRL
6 VRL
7 VRL
8 Device
9 DeviceConvert your VRL file (or other VDAT files!)
✔ File converted: VR2AR_546323_20231012_1.vrlℹ Files saved in: C:/Users/darpa2/Analysis/ACT-2024/ACT_20240123/VR2AR_546323_20231012_1.csv-fathom-split [1] "ATTITUDE.csv" "BATTERY.csv" "CFG_CHANNEL.csv"
[4] "CFG_STUDY.csv" "CFG_TRANSMITTER.csv" "CLOCK_REF.csv"
[7] "DATA_SOURCE_FILE.csv" "DEPTH.csv" "DET.csv"
[10] "DIAG.csv" "EVENT.csv" "EVENT_INIT.csv"
[13] "EVENT_OFFLOAD.csv" "HEALTH_VR2AR.csv" "TEMP.csv" Pull out detections
dets <- read.csv('VR2AR_546323_20231012_1.csv-fathom-split/DET.csv',
skip = 1)
xtabs(~ Full.ID, data = dets)Full.ID
A69-1601-26187 A69-1601-60787 A69-1601-60934 A69-1602-21404 A69-1602-25905
2 28410 841 47 13
A69-1602-25908 A69-1602-34360 A69-1602-49365 A69-1602-51178 A69-1602-55932
9 4 451 2 6
A69-1602-55959 A69-1604-690 A69-9001-15398 A69-9001-15402 A69-9001-1898
13 23 31 2 2
A69-9001-21721 A69-9001-24477 A69-9001-26408 A69-9001-64709 A69-9001-6906
2 13 19 13 15 Pull out temperature data
Noise
Tilt
Depth
Pings
Detections
More information
otndo
- Understand ACT/OTN data pushes
- Quick-and-dirty summary of the data push
- Back to the “network”
What’s needed
name number
35 Maryland Department of Natural Resources 90
47 Navy Kennebec ME Telemetry Array 192
48 NCBO-MD DNR Chesapeake Backbone North 181
49 NCBO-VMRC Chesapeake Backbone South 164
123 UMCES-NYSDEC Hudson Striped Bass Spawning 127
124 UMCES Black Sea Bass & Offshore Construction 97
125 UMCES BOEM Marine Mammal Monitoring 242
126 UMCES BOEM Offshore Wind Energy 87
127 UMCES Chesapeake Backbone, Mid-Bay 161
128 UMCES Lower Hudson Striped Bass Contingents 155
129 UMCES Potomac River Striped Bass Migration 60
130 UMCES Resident Hudson Striped Bass Migration 160
131 UMCES Striped Bass Thermal Squeeze 152
132 UMCES TailWinds 240
url
35 https://matos.asascience.com/project/detail/90
47 https://matos.asascience.com/project/detail/192
48 https://matos.asascience.com/project/detail/181
49 https://matos.asascience.com/project/detail/164
123 https://matos.asascience.com/project/detail/127
124 https://matos.asascience.com/project/detail/97
125 https://matos.asascience.com/project/detail/242
126 https://matos.asascience.com/project/detail/87
127 https://matos.asascience.com/project/detail/161
128 https://matos.asascience.com/project/detail/155
129 https://matos.asascience.com/project/detail/60
130 https://matos.asascience.com/project/detail/160
131 https://matos.asascience.com/project/detail/152
132 https://matos.asascience.com/project/detail/240
FID collectioncode
35 otn_resources_metadata.fid-37ac1afd_18d3389bf79_486e ACT.MDDNR1NR
47 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4879 ACT.NAVYKENN
48 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4840 ACT.CBBBN
49 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4841 ACT.CBBBS
123 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4864 ACT.HUDRSB
124 otn_resources_metadata.fid-37ac1afd_18d3389bf79_486d ACT.MDBSB
125 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4871 ACT.MDWEAMAM
126 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4870 ACT.MDWEA
127 otn_resources_metadata.fid-37ac1afd_18d3389bf79_483f ACT.CBBBMB
128 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4861 ACT.HRSB09
129 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4892 ACT.PASBT
130 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4860 ACT.HRSB04
131 otn_resources_metadata.fid-37ac1afd_18d3389bf79_4893 ACT.PAXSB08
132 otn_resources_metadata.fid-37ac1afd_18d3389bf79_48ac ACT.TAILWINDS
longname
35 Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47 Naval Undersea Warfare Center (NUWC) Kennebec River and Offshore Acoustic Telemetry Monitoring
48 NOAA Chesapeake Bay Office-Maryland Department of Natural Resources Chesapeake Bay Backbone Northern Array
49 NOAA Chesapeake Bay Office-Virginia Marine Resource Commission Chesapeake Bay Backbone Southern Acoustic Array
123 Spawning Behavior and Ocean Migrations by Hudson River Striped Bass
124 Influence of Turbine Construction Noise on Black Sea Bass Displacement and Physiological Condition in the MD Wind Energy Area
125 Add-on to: Determining Habitat Use by Marine Mammals and Ambient Noise Levels Using Passive Acoustic Monitoring Offshore of Maryland
126 Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127 Building a Mainstem Chesapeake Bay Telemetry Array: Mid-Bay Segment
128 Striped Bass Habitat Use and Migrations in the Lower Hudson River Estuary
129 PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130 Migration Patterns of Resident Hudson River Striped Bass
131 Test of The Thermal Niche-Oxygen Squeeze Hypothesis for Chesapeake Bay Striped Bass
132 TailWinds: Team for Assessing Impacts to Living resources from offshore WIND turbineS
shortname ocean seriescode
35 Maryland Department of Natural Resources MID ATLANTIC ACT
47 Navy Kennebec ME Telemetry Array NE ATLANTIC ACT
48 NCBO-MD DNR Chesapeake Backbone North NE ATLANTIC ACT
49 NCBO-VMRC Chesapeake Backbone South NE ATLANTIC ACT
123 UMCES-NYSDEC Hudson Striped Bass Spawning NE ATLANTIC ACT
124 UMCES Black Sea Bass & Offshore Construction NE ATLANTIC ACT
125 UMCES BOEM Marine Mammal Monitoring NE ATLANTIC ACT
126 UMCES BOEM Offshore Wind Energy MID ATLANTIC ACT
127 UMCES Chesapeake Backbone, Mid-Bay NE ATLANTIC ACT
128 UMCES Lower Hudson Striped Bass Contingents MID ATLANTIC ACT
129 UMCES Potomac River Striped Bass Migration MID ATLANTIC ACT
130 UMCES Resident Hudson Striped Bass Migration NE ATLANTIC ACT
131 UMCES Striped Bass Thermal Squeeze MID ATLANTIC ACT
132 UMCES TailWinds NE ATLANTIC ACT
status
35 ongoing
47 ongoing
48 ongoing
49 ongoing
123 completed
124 completed
125 ongoing
126 completed
127 ongoing
128 completed
129 completed
130 completed
131 completed
132 ongoing
citation
35 Stence, C. 2019. Spawning movement behaviors, habitat dependencies and run size of Nanticoke River Atlantic sturgeon
47
48
49
123
124
125
126 O'Brien, M. 2016. Movement and Habitat Selection by Migratory Marine Fishes within the Maryland Wind Energy Area and Adjacent Reference Sites
127
128
129 O'Brien, M. 2014. PAST: The Potomac and Atlantic Striped Bass Telemetry Study
130
131
132
abstract
35 Recovery planning for Atlantic sturgeon requires estimates of population abundances against which to evaluate takes and develop feasible restoration targets. We will develop an approach combining telemetry and multi-beam sonar (ARIS: Adaptive Resolution Imaging Sonar) to estimate spawning run size in the Nanticoke River Estuary, which supports a newly discovered yet potentially critically endangered population within Chesapeake Bay DPS.
47 This telemetry monitoring study is to collect year round occurrence data for Atlantic and shortnose sturgeon in the lower Kennebec River (at Bath Iron Works [BIW]) and also to collect data during recurrent Naval activities. This study will also implement monitoring stations offshore of Popham Beach to capture coastal movements of sturgeon and other species including White Sharks. This area encompasses a curtain between Fox-Seguin Islands and the JackKnife Ledge Dredge Disposal area.
48 NCBO and MD DNR partner to deploy four acoustic release receivers across the span of the Chesapeake adjacent to the Chesapeake Bay Bridge between Annapolis and Kent Island. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay. The goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally
49 This project maintains a line of receivers immediately adjacent to the Chesapeake Bay Bridget Tunnel near the mouth of the Chesapeake. It's part of a broader partnership between the NOAA Chesapeake Bay Office, Virginia Marine Resources Commission, Maryland Department of Natural Resources, University of Maryland Center for Environmental Science, and the Smithsonian Environmental Research Center, to maintain a series of "backbone" receiver arrays at key points in the Chesapeake Bay.\\r\\rThe goal is to maintain array gates across wide sections of the bay over the long-term and deliver consistent detection data that other researchers can readily access. The intent is to work with willing researchers from states agencies and academia to answer questions about how fish utilize the Chesapeake spatially and temporally.
123 Together with other principal striped bass stocks, the Hudson River population has experienced diminished recruitment and survival, which has prompted management action to reduce fishing mortality in New York and other states. A central issue in the management of Hudson River striped bass is how this population contributes to coastal fisheries. What factors influence coastal migrations? This study used existing telemetry receiver assets in the Hudson River, shelf waters, and other major Atlantic estuaries to examine the influence of sex, size, and spawning reach on these coastal migrations.
124 The project evaluates differences in black sea bass occurrence, movement, and physiological condition between a control region (>20 km) and regions of avoidance (500-1000 m) and noise detection (2000-4000 m) associated with construction of a meteorological tower in advance of wind farm development. The influence of noise levels (recorded on broadband acoustic receivers) from separate phases of Meteorological Tower construction on black sea bass occurrence and movement data is monitored.\\r\\rInfluence of large-scale storms on the acoustic environment and physical oceanography on black sea bass movement and migration will also be investigated utilizing the resultant data.
125 BOEM Study 2019-018 was used as a "ship of opportunity" to deploy Innovasea VR2Ws alongside of passive acoustic monitoring instruments used to describe marine mammal movements through the Maryland Wind Energy Area.
126 Baseline information is needed on the extent of fish migration corridors within BOEM-leased Wind Energy Areas. This two-year biotelemetry study deployed a beforeafter-gradient approach to evaluate migration behavior and habitat selection of two model migratory fishes, Atlantic sturgeon Acipenser oxyrhynchus and striped bass Morone saxatilis, in the Maryland Wind Energy Area (MD WEA). The MD WEA is located in the migration corridors for both species during periods of spring, fall and winter. Detected individuals within the MD WEA originated broadly, from Maine to South Carolina. During summer, Atlantic sturgeon were rarely detected and striped bass were absent in the MD WEA, suggesting a potential window for wind turbine construction. Dynamic habitat models identified cross-shelf gradients in depth and temperature that were predictive of seasonal incidence and whether test species distributions were within MD WEA or in adjacent shelf regions. https://doi.org/10.5061/dryad.6hdr7sqx3
127 This project maintains a string of receivers across the mid-Bay segment of the mainstem Chesapeake Bay between Cedar Point and Barren Island, MD. The goal of this project is to create a consistently-deployed telemetry array upon which other projects can build.
128 Through biotelemetry, we investigated how striped bass transit and utilize the lower Hudson River Estuary. This study builds upon past Hudson River Foundation-supported research, which suggested that striped bass migration patterns, categorized as “contingent structure,” might be a useful organizing concept in understanding how striped bass seasonally utilize the Hudson River Estuary. Seasonal migrations of three contingents (river, harbor, and ocean contingents) were investigated using both manual tracking (three seasonal campaigns) and remote data-logging receiver arrays over a 18-month period (May 2010-December 2011).
129 Track a representative group of 100 Potomac River striped bass over a multi-year period within the Potomac River and across major regions and tributaries of the Chesapeake and the Atlantic Coast.
130 Hudson River striped bass show highly variable migration patterns, as seen through tagging studies and otolith microchemical analyses (Clark 1968; Secor 1999). Recent studies have shown resident, estuarine, and ocean migratory contingents in the Hudson River (Secor et al. 2001). These contingent behaviors play a dominant role in the exposure of these fish to polychlorinated biphenyls (PCBs) (Secor and Zlokovitz 1999). We describe a study of seasonal migrations of contaminated resident striped bass to better understand the likelihood of angler consumption of these fish. We investigated the resident contingent of Hudson River striped bass, focusing on the seasonal patterns of migration by these fish. Seasonal migrations of resident fish were measured using both manual tracking (four seasonal campaigns) and remote data-logging receiver arrays (three intercept sites) over a 12-month period (October 2004-November 2005).\\r\\rResults published in Wingate and Secor, 2007.
131 To bring ecosystem considerations into the current Chesapeake Bay Program striped bass FMP will require improved understanding and benchmarks for the role of water quality and habitat in influencing striped bass production. Here, we propose to better understand the constraints on resident Chesapeake Bay striped bass production under continued and perhaps worsening conditions of thermal and hypoxic stress. A widely held, but unsubstantiated view of Chesapeake Bay striped bass is that eutrophication and related increased incidence of hypoxia during summer has reduced growth and condition, and occasionally resulted in fish kills. In this study, we will directly evaluate Coutant’s thermal niche-oxygen squeeze hypothesis in the Patuxent River estuary. We develop bioenergetic benchmarks of resident striped bass growth as habitat indicators relevant to management of striped bass and other living resources.
132 US Wind, Inc. is developing Lease area OCS-A 0490 in waters offshore of Ocean City, MD (the MarWin Project Area). In tandem with this development, UMCES TAILWINDS is undertaking a coordinated program of fishery resource and marine mammal monitoring. The program includes monitoring of (1) commercial and recreational fishery resources, with a focus on black sea bass; (2) marine mammals (cetaceans: whales, dolphins and porpoises), using a passive acoustic monitoring (PAM) array and emphasizing large whales and dolphins; and (3) near real-time detections of baleen whales. Innovasea receivers are deployed alongside of the PAM array to intercept electronically-tagged fishes through the MarWin Project and adjacent areas.
locality local_area
35 Chesapeake Bay Nanticoke River
47 Kennebec River Gulf of Maine
48 Annapolis Chesapeake Bay
49 Chesapeake Bay Chesapeake Bay
123 Hudson River Hudson River
124 Atlantic Ocean Ocean City
125
126 BOEM Wind Farm Ocean City
127 Cedar Point, MD Chesapeake Bay
128 Hudson River Hudson River
129 Chesapeake Bay Chesapeake Bay
130 Hudson River Hudson River
131 Patuxent River Patuxent River
132 Southern Mid-Atlantic Bight
website
35
47
48
49
123
124
125 https://espis.boem.gov/final%20reports/BOEM_2019-018.pdf
126 https://www.govinfo.gov/app/details/GOVPUB-I-e41f0ebd0487ba48b521a21a7ae45ec5
127
128
129 http://fishconnectivity.cbl.umces.edu/PAST
130
131
132 https://tailwinds.umces.edu/
node collaborationtype id
35 ACT Data 66
47 ACT Deployment 77
48 ACT Deployment 20
49 ACT Deployment 21
123 ACT Data 56
124 ACT Data 65
125 ACT Deployment 69
126 ACT Data 68
127 ACT Deployment 19
128 ACT Data 53
129 ACT Data 102
130 ACT Data 52
131 ACT Data 103
132 ACT Deployment 128
the_geom
35 POLYGON ((-76.07 37.98, -76.07 38.83, -75.4 38.83, -75.4 37.98, -76.07 37.98))
47 POLYGON ((-70.089689 43.461849, -70.089689 44.345744, -69.399658 44.345744, -69.399658 43.461849, -70.089689 43.461849))
48 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
49 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
123 POLYGON ((-75.28 40.34, -75.28 42.98, -72.55 42.98, -72.55 40.34, -75.28 40.34))
124 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
125 POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))
126 POLYGON ((-77.44 37.61, -77.44 43.3, -70.04 43.3, -70.04 37.61, -77.44 37.61))
127 POLYGON ((-76.424487 38.266579, -76.424487 38.3614, -76.221066 38.3614, -76.221066 38.266579, -76.424487 38.266579))
128 POLYGON ((-74.62 39.82, -74.62 42.57, -73.36 42.57, -73.36 39.82, -74.62 39.82))
129 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
130 POLYGON ((-74.05 42.04, -74.05 42.86, -73.46 42.86, -73.46 42.04, -74.05 42.04))
131 POLYGON ((-79.53 33.88, -79.53 42.26, -68.1 42.26, -68.1 33.88, -79.53 33.88))
132 POLYGON ((-79.53 33.889, -79.53 42.252, -68.107 42.252, -68.107 33.889, -79.53 33.889))